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Python: Real-World Data Science
book

Python: Real-World Data Science

by Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka
June 2016
Beginner to intermediate content levelBeginner to intermediate
1255 pages
29h 1m
English
Packt Publishing
Content preview from Python: Real-World Data Science

Organizing module contents

Inside any one module, we can specify variables, classes, or functions. They can be a handy way to store the global state without namespace conflicts. For example, we have been importing the Database class into various modules and then instantiating it, but it might make more sense to have only one database object globally available from the database module. The database module might look like this:

class Database:
    # the database implementation
    pass

database = Database()

Then we can use any of the import methods we've discussed to access the database object, for example:

from ecommerce.database import database

A problem with the preceding class is that the database object is created immediately when the module is first imported, ...

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Publisher Resources

ISBN: 9781786465160